Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Preferred qualifications:
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
2 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and visualization.
Experience, education/training, or demonstrated interest in machine learning.
Excellent communication skills and ability to translate analysis results into business recommendations.
Distinctive problem solving skills and impeccable business judgment. Good at articulating product questions, pulling data from large datasets (e.g., SQL, BigQuery or equivalent technologies).